Electronic Preprints

There are currently 1 electronic preprints awaiting publication. They are listed below in reverse chronological order.

2020

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Title

Digging into MUD with Python: mudpy, bdata, and bfit

Author

D. Fujimoto

Abstract

Used to store the results of μSR measurements at TRIUMF, the Muon Data (MUD) file format serves as a useful and flexible scheme that is both lightweight and self-describing. The application programming interface (API) for these files is written in C and FORTRAN, languages not known for their ease of use. In contrast, Python is a language which emphasizes rapid prototyping and readability. This work describes three Python 3 packages to interface with MUD files and analyze their contents: mudpy, bdata, and bfit. The first enables easy access to the contents of any MUD file. The latter two are implemented specifically for the implanted-ion β-detected NMR (β-NMR) experiment at TRIUMF. These tools provide both an API and graphical user interface (GUI) to help users extract and fit β-NMR data.

arXiv:2004.10395 [physics.data-an]

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